The crisis of water shortage in our country makes us use an advanced system with facilities that we can use this system for different places, agricultural land and other lands. The smart irrigation system is one of the latest technologies available, which makes you choose the best method for irrigation by reducing water consumption and preventing water consumption. In addition, this smart irrigation system helps you to determine the best time to water and manage and control irrigation from thousands of kilometers away with smart devices such as phones. Using a smart irrigation system helps you to do smart irrigation according to the type of plant needs and different land conditions. In this paper focuses on the development and application of a thermal imaging-based framework for managing agricultural irrigation systems. The main objective is to identify and monitor crop water requirements across farmland through thermal image analysis, thereby improving irrigation efficiency and reducing unnecessary water use. To achieve this, the study adopts an iterative model, selected for its higher efficiency and adaptability. The system integrates image recognition techniques and programmable software tools in combination with thermal cameras specifically designed for irrigation monitoring. Importantly, the system operates autonomously without the need for direct human intervention. By incorporating this approach into existing irrigation practices, both water and energy consumption can be significantly optimized. Ultimately, the proposed system is anticipated to enhance agricultural productivity and overall irrigation efficiency, contributing to sustainable resource management.